Correction of sensor data in a multi-sensor internet of things environment

Techniques are provided for correcting sensor data in a multi-sensor environment. An exemplary method comprises obtaining sensor data from a first sensor; applying an anomaly detection technique to detect an anomaly in the sensor data from the first sensor based on additional sensor data from one or more of the first sensor and at least one additional sensor in proximity to the first sensor; and correcting the anomalous sensor data from the first sensor using additional sensor data from one or more of the first sensor and the at least one additional sensor. In some embodiments, additional sensor data from a plurality of neighboring sensors is used to predict the sensor data from the first sensor. The anomalous sensor data is optionally corrected substantially close in time to the detection of the anomaly in the sensor data.